Faming Fang

3.6k total citations
71 papers, 1.7k citations indexed

About

Faming Fang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Biomedical Engineering. According to data from OpenAlex, Faming Fang has authored 71 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Computer Vision and Pattern Recognition, 40 papers in Media Technology and 12 papers in Biomedical Engineering. Recurrent topics in Faming Fang's work include Advanced Image Fusion Techniques (28 papers), Image and Signal Denoising Methods (27 papers) and Advanced Image Processing Techniques (27 papers). Faming Fang is often cited by papers focused on Advanced Image Fusion Techniques (28 papers), Image and Signal Denoising Methods (27 papers) and Advanced Image Processing Techniques (27 papers). Faming Fang collaborates with scholars based in China, Hong Kong and Canada. Faming Fang's co-authors include Guixu Zhang, Juncheng Li, Fang Li, Tingting Wang, Tieyong Zeng, Liang Chen, Chaomin Shen, Jiaqian Li, Kangfu Mei and Zhihao Gu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Faming Fang

59 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Faming Fang China 22 1.4k 962 117 96 87 71 1.7k
Yuchen Fan China 14 1.6k 1.1× 772 0.8× 94 0.8× 57 0.6× 60 0.7× 47 1.9k
Zhihao Wang China 4 980 0.7× 553 0.6× 100 0.9× 43 0.4× 67 0.8× 7 1.3k
Daniel Gläsner United States 10 1.6k 1.1× 848 0.9× 70 0.6× 96 1.0× 86 1.0× 17 1.8k
Wei‐Sheng Lai United States 19 2.1k 1.5× 967 1.0× 88 0.8× 62 0.6× 126 1.4× 27 2.4k
Huanjing Yue China 22 1.2k 0.8× 743 0.8× 148 1.3× 57 0.6× 48 0.6× 74 1.6k
Arthur L. da Cunha United States 5 1.4k 1.0× 1.4k 1.5× 142 1.2× 190 2.0× 50 0.6× 9 1.7k
Jianrui Cai Hong Kong 9 2.4k 1.7× 1.4k 1.4× 112 1.0× 65 0.7× 35 0.4× 9 2.6k
Wenda Zhao China 19 819 0.6× 830 0.9× 141 1.2× 194 2.0× 30 0.3× 53 1.2k
Greg Shakhnarovich United States 12 1.4k 1.0× 733 0.8× 74 0.6× 48 0.5× 119 1.4× 19 1.6k
Yuanhao Cai China 9 579 0.4× 404 0.4× 171 1.5× 78 0.8× 109 1.3× 18 901

Countries citing papers authored by Faming Fang

Since Specialization
Citations

This map shows the geographic impact of Faming Fang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Faming Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Faming Fang more than expected).

Fields of papers citing papers by Faming Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Faming Fang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Faming Fang. The network helps show where Faming Fang may publish in the future.

Co-authorship network of co-authors of Faming Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Faming Fang. A scholar is included among the top collaborators of Faming Fang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Faming Fang. Faming Fang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Junkang, Faming Fang, Tingting Wang, Guixu Zhang, & Haichuan Song. (2025). FrDiff: Framelet-Based Conditional Diffusion Model for Multispectral and Panchromatic Image Fusion. IEEE Transactions on Multimedia. 27. 5989–6002.
2.
Zhang, Junkang, et al.. (2025). Customized priors for enhanced multispectral and hyperspectral image sharpening. Information Fusion. 122. 103172–103172.
3.
Zhu, Yujie, et al.. (2025). First-order State Space Model for Lightweight Image Super-resolution. ArXiv.org. 1–5.
4.
Fang, Hui, et al.. (2025). DUGCN: Deep Unfolding Gradient Consistency Network for fast MRI reconstruction. Neurocomputing. 646. 130481–130481.
5.
Fang, Faming, et al.. (2024). HFGN: High-Frequency residual Feature Guided Network for fast MRI reconstruction. Pattern Recognition. 156. 110801–110801. 5 indexed citations
6.
Zhang, Junkang, et al.. (2024). UGNet: Uncertainty aware geometry enhanced networks for stereo matching. Pattern Recognition. 151. 110410–110410. 3 indexed citations
7.
Fang, Faming, et al.. (2024). Joint Under-Sampling Pattern and Dual-Domain Reconstruction for Accelerating Multi-Contrast MRI. IEEE Transactions on Image Processing. 33. 4686–4701. 3 indexed citations
8.
Fang, Faming, et al.. (2024). A novel pansharpening method based on cross stage partial network and transformer. Scientific Reports. 14(1). 12631–12631. 5 indexed citations
9.
Fang, Faming, et al.. (2023). Self-supervised medical slice interpolation network using controllable feature flow. Expert Systems with Applications. 238. 121943–121943. 3 indexed citations
10.
Fang, Faming, et al.. (2023). Noise resistant steam generator water level reconstruction for nuclear power plant based on deep residual shrinkage network. Annals of Nuclear Energy. 193. 110038–110038. 3 indexed citations
11.
Fang, Faming, et al.. (2023). Frequency Learning via Multi-Scale Fourier Transformer for MRI Reconstruction. IEEE Journal of Biomedical and Health Informatics. 27(11). 5506–5517. 11 indexed citations
12.
Fang, Faming, et al.. (2023). Flow Guidance Deformable Compensation Network for Video Frame Interpolation. IEEE Transactions on Multimedia. 26. 1801–1812. 3 indexed citations
13.
Fang, Faming, et al.. (2021). Multi-Scale Grid Network for Image Deblurring With High-Frequency Guidance. IEEE Transactions on Multimedia. 24. 2890–2901. 31 indexed citations
14.
Fang, Faming, Juncheng Li, & Tieyong Zeng. (2020). Soft-Edge Assisted Network for Single Image Super-Resolution. IEEE Transactions on Image Processing. 29. 4656–4668. 139 indexed citations
15.
Fang, Faming, et al.. (2020). Multilevel Edge Features Guided Network for Image Denoising. IEEE Transactions on Neural Networks and Learning Systems. 32(9). 3956–3970. 61 indexed citations
16.
Fang, Faming, Tingting Wang, Tieyong Zeng, & Guixu Zhang. (2019). A Superpixel-Based Variational Model for Image Colorization. IEEE Transactions on Visualization and Computer Graphics. 26(10). 2931–2943. 37 indexed citations
17.
Fang, Faming, Tingting Wang, Yang Wang, Tieyong Zeng, & Guixu Zhang. (2019). Variational Single Image Dehazing for Enhanced Visualization. IEEE Transactions on Multimedia. 22(10). 2537–2550. 33 indexed citations
18.
Zheng, Hao, Faming Fang, & Guixu Zhang. (2019). Cascaded Dilated Dense Network with Two-step Data Consistency for MRI Reconstruction. Neural Information Processing Systems. 32. 1742–1752. 20 indexed citations
19.
Chen, He & Faming Fang. (2019). Bregman-Tanimoto Based Method for Contrast Preserving Decolorization. 1240–1245. 4 indexed citations
20.
Fang, Faming, Fang Li, Chaomin Shen, & Guixu Zhang. (2013). A Variational Approach for Pan-Sharpening. IEEE Transactions on Image Processing. 22(7). 2822–2834. 141 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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